Image Noise Elimination Using Evolutionary Algorithm
Abstract Evolutionary algorithms like Genetic Algorithms ( GA ) and Genetic programming ( GP ) are domain - independent problem solving approaches in which computer programs are evolved to solve , or approximately solve , problems . Learning methods for image denoising consist of minimizing a functi...
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| Format: | Article |
| Language: | English |
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Unviversity of Technology- Iraq
2005-06-01
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| Series: | Engineering and Technology Journal |
| Subjects: | |
| Online Access: | https://etj.uotechnology.edu.iq/article_182134_68b438df0763e9c84a7065635fd46d81.pdf |
| _version_ | 1797325070186577920 |
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| author | Matheel Abdulmunim |
| author_facet | Matheel Abdulmunim |
| author_sort | Matheel Abdulmunim |
| collection | DOAJ |
| description | Abstract Evolutionary algorithms like Genetic Algorithms ( GA ) and Genetic programming ( GP ) are domain - independent problem solving approaches in which computer programs are evolved to solve , or approximately solve , problems . Learning methods for image denoising consist of minimizing a functional , which incorporates both the data and some penalty term . Choosing the penalty term to involve the total variation of the image has the advantage of cleaning speckles without smoothing out the edges . In this paper , our goal is to investigate the use of genetic algorithms to minimize the functional . |
| first_indexed | 2024-03-08T06:05:35Z |
| format | Article |
| id | doaj.art-6268f34dd3524392858f529b519f0558 |
| institution | Directory Open Access Journal |
| issn | 1681-6900 2412-0758 |
| language | English |
| last_indexed | 2024-03-08T06:05:35Z |
| publishDate | 2005-06-01 |
| publisher | Unviversity of Technology- Iraq |
| record_format | Article |
| series | Engineering and Technology Journal |
| spelling | doaj.art-6268f34dd3524392858f529b519f05582024-02-04T17:55:49ZengUnviversity of Technology- IraqEngineering and Technology Journal1681-69002412-07582005-06-0124664465010.30684/etj.24.6.3182134Image Noise Elimination Using Evolutionary AlgorithmMatheel Abdulmunim0Applied Science Dept. University of TechnologyAbstract Evolutionary algorithms like Genetic Algorithms ( GA ) and Genetic programming ( GP ) are domain - independent problem solving approaches in which computer programs are evolved to solve , or approximately solve , problems . Learning methods for image denoising consist of minimizing a functional , which incorporates both the data and some penalty term . Choosing the penalty term to involve the total variation of the image has the advantage of cleaning speckles without smoothing out the edges . In this paper , our goal is to investigate the use of genetic algorithms to minimize the functional .https://etj.uotechnology.edu.iq/article_182134_68b438df0763e9c84a7065635fd46d81.pdfkeywords: evolutionary algorithmsimage processingnoise removal |
| spellingShingle | Matheel Abdulmunim Image Noise Elimination Using Evolutionary Algorithm Engineering and Technology Journal keywords: evolutionary algorithms image processing noise removal |
| title | Image Noise Elimination Using Evolutionary Algorithm |
| title_full | Image Noise Elimination Using Evolutionary Algorithm |
| title_fullStr | Image Noise Elimination Using Evolutionary Algorithm |
| title_full_unstemmed | Image Noise Elimination Using Evolutionary Algorithm |
| title_short | Image Noise Elimination Using Evolutionary Algorithm |
| title_sort | image noise elimination using evolutionary algorithm |
| topic | keywords: evolutionary algorithms image processing noise removal |
| url | https://etj.uotechnology.edu.iq/article_182134_68b438df0763e9c84a7065635fd46d81.pdf |
| work_keys_str_mv | AT matheelabdulmunim imagenoiseeliminationusingevolutionaryalgorithm |